US FDA issues guidance on modernizing statistical methods for clinical trials: Maryland Wednesday, January 14, 2026, 09:00 Hrs [IST] The US Food and Drug Administration today publ ...
Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...
WASHINGTON, Nov 14 (Reuters) - The Commerce Department's Bureau of Economic Analysis said on Friday it was working to update its schedule of economic data releases affected by the recently ended ...
Abstract: This paper describes a novel brain and cellular data analysis. Bayesian reasoning and hierarchical models provide important information. Bayesian principles continually anticipate model ...
bDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan cDivision of Haematology and Oncology, Department of Internal Medicine, Tri-Service ...
Abstract: We design a Bayesian network by series analysis on actual airline data. The creation of the initial parameters is based on the analysis for the continuous flights fly over the same point.
Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...
Single-cell transcriptomic architecture for deciphering the complexity of tumor microenvironment in ampulla of Vater carcinoma. Advancing treatment outcomes for peritoneal surface malignancies in low- ...
Bayesian analysis is being used with increasing frequency in critical care research and brings advantages and disadvantages compared to traditional Frequentist techniques. This study overviews this ...